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Found 3 papers, 1 papers with code
Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer
The aggressiveness of prostate cancer, the most common cancer in men worldwide, is primarily assessed based on histopathological data using the Gleason scoring system.
Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images
We formulate subgroup shift detection in the framework of statistical hypothesis testing and show that recent state-of-the-art statistical tests can be effectively applied to subgroup shift detection on medical imaging data.
Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples
HMTI technologies can be used to gain insights into the iTME and in particular how the iTME differs for different patient outcome groups of interest (e. g., treatment responders vs. non-responders).
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